Jun-Young Oh

According to our database, Jun-Young Oh authored at least 5 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

EdgeANet: A Transformer-based Edge Representation Learning Network for Canine X-ray Verification.

In-Gyu Lee, Jun-Young Oh, Hyewon Choi, Tae-Eui Kam, Namsoon Lee, Sang-Hwan Hyun, Euijong Lee, Ji-Hoon Jeong

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2025, 2025

Towards A Lightweight Deep Learning Framework for Real-Time Vital Sign Prediction with RGB Cameras.

Seong-Wook Kim, Hyeong-Yeong Park, In-Gyu Lee, Se-Na Jang, Seong-Hyun Yu, Jun-Young Oh, Gee-Myung Moon, Ji-Hoon Jeong

Proceedings of the 13th International Conference on Brain-Computer Interface, 2025

2024

Toward Robust Canine Cardiac Diagnosis: Deep Prototype Alignment Network-Based Few-Shot Segmentation in Veterinary Medicine.

Jun-Young Oh, In-Gyu Lee, Tae-Eui Kam, Ji-Hoon Jeong

CoRR, 2024

Generative Active Learning with Variational Autoencoder for Radiology Data Generation in Veterinary Medicine.

In-Gyu Lee, Jun-Young Oh, Hee-Jung Yu, Jae-Hwan Kim, Ki-Dong Eom, Ji-Hoon Jeong

Proceedings of the IEEE Conference on Artificial Intelligence, 2024

2023

Application of A Dual-Stage Deep Learning Framework to Detect Left Atrial Enlargement for Pet Heart Failure.

Jun-Young Oh, In-Gyu Lee, Hyun-Ho Chang, Euijong Lee, Ji-Hoon Jeong

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023